Evaluating the Diagnostic Efficacy of Smartwatch and Smartphone for Sleep Apnea
NCT ID: NCT06573372
Last Updated: 2024-10-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
295 participants
OBSERVATIONAL
2024-08-29
2026-07-31
Brief Summary
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Detailed Description
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There are many reasons for the low diagnosis rate of OSA. About the danger of OSA patients with insufficient understanding and OSA diagnosis treatment process link is the more important reason. The OSA diagnosis depends on the patient to the hospital, after outpatient service initiated or portable polysomnography evaluation, limited by registered, see a doctor, make an appointment, monitoring, and many other processes, as well as the level of understanding of OSA patients, many patients with OSA don't want to come to the hospital. With the popularity of intelligent wearable devices, intelligent wearable device can effectively monitor the human multiple physiological indicators, and has high comfort, the cost is low, the detection process is not restricted by time and place, etc. Besides smartphones by smart sensors, collect the snoring, heart shock signals (BCG) and respiratory, physiological parameters, such as non-contact multi-parameter sleep monitoring technology, made possible by the. These are the home sleep monitoring way to provide more convenient and easy to use, makes the risk of OSA screening more convenient\[5-8\].
The purpose of this study is to evaluate the diagnostic value of smartphones and watches for OSA screening. The study will be conducted in individuals suspected of having OSA. Subjects will undergo "gold standard" PSG assessment (overnight polysomnography with staff supervision) in a sleep monitoring room, while wearing a smartwatch and smartphone for monitoring. The results will be compared to evaluate the diagnostic value of smartwatches and smartphones for OSA.
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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OPPO
UNKNOWN
Peking University First Hospital
OTHER
Responsible Party
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Jing MA
Dr.
Locations
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Cheng Zhang
Beijing, Beijing Municipality, China
Countries
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Facility Contacts
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Other Identifiers
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2024 Research 347-001
Identifier Type: -
Identifier Source: org_study_id
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